You will get AI Product Architecture: Idea to Production-Ready System
Rising Talent
Rising Talent
Project details
Most AI product efforts fail before a line of code is written, not because the idea is wrong, but because nobody mapped out what to build, in what order, and what will break at scale.
I provide end-to-end AI system architecture: agent design, data flows, infrastructure, cost modeling, and a phased build plan your engineering team can actually execute against. I have done this for Fortune 500 automotive and manufacturing companies at AWS, covering maturity assessments, use case prioritization, governance frameworks, and phased delivery plans. I have also designed startup scale products like Arcana, a real time trade intelligence platform built on AWS Bedrock.
Every engagement produces a working architecture document and roadmap, not a slide deck with buzzwords. You get a high level design with component diagrams, a tech stack recommendation with tradeoff analysis, a phased build plan with sequencing, and a cost model covering both infrastructure and LLM usage.
The Advanced tier includes three working sessions and execution support for phase 1, so your team is never left guessing.
If you need to know what to build before you build it, this is the engagement for you.
I provide end-to-end AI system architecture: agent design, data flows, infrastructure, cost modeling, and a phased build plan your engineering team can actually execute against. I have done this for Fortune 500 automotive and manufacturing companies at AWS, covering maturity assessments, use case prioritization, governance frameworks, and phased delivery plans. I have also designed startup scale products like Arcana, a real time trade intelligence platform built on AWS Bedrock.
Every engagement produces a working architecture document and roadmap, not a slide deck with buzzwords. You get a high level design with component diagrams, a tech stack recommendation with tradeoff analysis, a phased build plan with sequencing, and a cost model covering both infrastructure and LLM usage.
The Advanced tier includes three working sessions and execution support for phase 1, so your team is never left guessing.
If you need to know what to build before you build it, this is the engagement for you.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, Google AutoML, MLflowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$800
|
Standard
$2,500
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | - | |
Knowledge Graph | - | ||
Model Documentation | |||
Ontology | - | - | |
Source Code | - | - | |
Taxonomy |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150 - $800
Additional Revision
+$150About Hassan
Field CTO & GenAI Architect | AWS
Aurora, United States - 10:10 pm local time
◆ $10M+ AI modernization delivered.
◆ 100K+ devices, autonomously managed.
◆ Fortune 500 AI strategy advisor.
What I do:
◆ I architect and ship agentic AI systems from idea to production.
◆ A decade across AWS, enterprise, and unicorn startups.
◆ I know where systems fail. I design so they don't.
Good fit if:
◆ You need a full agentic AI system built and running in production
◆ Your AI works in demos but breaks in the real world
◆ You need multi-agent architecture done properly
◆ You want RAG that actually works, not a vector DB bolted onto an LLM
◆ You're building on AWS and want someone who knows it natively
Stack:
◆ AWS serverless infrastructure
◆ TypeScript, Python, React, React Native
◆ AWS Bedrock AgentCore
◆ LangChain / LangGraph
◆ Strands SDK
◆ MCP (Model Context Protocol)
◆ A2A for multi-agent communication
I keep my work focused. Reach out, happy to talk.
Steps for completing your project
After purchasing the project, send requirements so Hassan can start the project.
Delivery time starts when Hassan receives requirements from you.
Hassan works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Use Case Scoping
I review your product idea, business goals, and constraints to define scope, identify the right AI approach, and map out the data sources and user journeys before any design work begins.
Architecture Design & Tech Stack Recommendation
I produce a full HLD with component diagrams, data flows, and a tech stack recommendation with tradeoff analysis covering Bedrock, SageMaker, and multi-provider options with cost modeling.